Discover Agentic AI in the AI Agent Development Frameworks category: Comprehensive directory of solutions verified by AI agency professionals.

Agentic AI in "AI Agent Development Frameworks" Category

TensorFlow is an end-to-end open-source platform for machine learning developed by the Google Brain Team. It offers a comprehensive ecosystem of tools, libraries, and community resources that enable researchers and developers to build and deploy machine learning-powered applications efficiently. TensorFlow supports various programming languages, including Python, C++, and JavaScript, and is compatible with multiple platforms such as Linux, macOS, Windows, Android, and JavaScript. Since its initial release in 2015, TensorFlow has become one of the most widely adopted deep learning frameworks, facilitating tasks ranging from research prototyping to production deployment.

TensorFlow

tensorflow

An open-source machine learning platform developed by Google for building and deploying ML models.

ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.

ToRA

tora

A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.

Gwenflow, developed by Gwenlake, is an open-source framework designed to streamline the creation of customized, production-ready applications centered around autonomous AI agents and Large Language Models (LLMs). It provides developers with tools to integrate LLMs and agents seamlessly, enabling efficient and scalable solutions tailored to specific business or user needs. Gwenflow supports modular agent architecture, intuitive workflow representation, and an extensible system for tools and plugins, facilitating intelligent process automation, automated customer support systems, and AI-driven data processing pipelines.

Gwenflow

gwenflow

A framework for orchestrating applications powered by autonomous AI agents and LLMs.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Embracing the spirit of extremity in every facet of life, we introduce AGiXT. This advanced AI Automation Platform is our bold step towards the realization of Artificial General Intelligence (AGI). Seamlessly orchestrating instruction management and executing complex tasks across diverse AI providers, AGiXT combines adaptive memory, smart features, and a versatile plugin system to maximize AI potential. With our unwavering commitment to innovation, we're dedicated to pushing the boundaries of AI and bringing AGI closer to reality.

AGiXT

agixt

Dynamic AI automation platform streamlining task execution & management across providers with adaptive memory, smart features & plugins

Letta AI is an open-source platform designed to enable developers to create, deploy, and manage AI agents endowed with persistent memory and advanced reasoning capabilities. Originating from the Sky Computing Lab at UC Berkeley, Letta provides a comprehensive framework that includes the Agent Development Environment (ADE) for visualizing and iterating on agent designs, as well as robust APIs and SDKs for seamless integration. By incorporating memory management techniques from MemGPT, Letta ensures that agents can maintain context over extended interactions, facilitating more coherent and contextually aware AI applications.

Letta AI

letta-ai

An open-source platform for building stateful AI agents with long-term memory and advanced reasoning.

Llama Guard is a Large Language Model (LLM)-based safeguard developed to ensure safe and appropriate human-AI interactions. It functions by classifying both user inputs and AI-generated outputs to identify and mitigate potential safety risks, such as prompt injections or inappropriate content. The model is instruction-tuned to handle various safety categories and can be customized to align with specific use cases. Llama Guard supports multi-class classification and generates binary decision scores to effectively moderate AI conversations.

Llama Guard

llama-guard

LLM-based safeguard model ensuring safe human-AI conversations.

AgentForge is a low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and cognitive architectures. It supports multiple Large Language Models (LLMs), including OpenAI, Google's Gemini, Anthropic's Claude, and local models via Ollama or LMStudio. The platform offers customizable agents with features like dynamic prompt templates, on-the-fly prompt editing, and custom tools and actions. Its database-agnostic design ensures seamless integration with various databases, making it adaptable for diverse AI projects.

AgentForge

agentforge

Low-code framework for rapid development of AI-powered autonomous agents and cognitive architectures.

Agent Q is an advanced AI framework designed to improve the autonomy of AI agents in dynamic environments, such as web interfaces. It combines guided Monte Carlo Tree Search (MCTS), self-critique mechanisms, and reinforcement learning to enable agents to plan, execute, and adapt their actions effectively. This approach allows AI agents to handle complex, multi-step tasks with greater reliability and efficiency.

Agent Q

agent-q

AI framework enhancing autonomous agents' reasoning and learning in dynamic environments.

HuggingGPT is an AI agent that leverages large language models (LLMs), such as ChatGPT, to connect with various AI models available in machine learning communities like Hugging Face. It functions by using an LLM to plan tasks based on user requests, selecting appropriate models according to their descriptions, executing each subtask with the chosen models, and summarizing the responses based on the execution results. This approach enables HuggingGPT to tackle a wide range of sophisticated AI tasks spanning different modalities and domains, including language, vision, and speech.

HuggingGPT

hugginggpt

LLM-powered agent connecting various AI models to solve complex tasks across multiple domains.

The Temporal AI Agent is an open-source framework that leverages Temporal workflows to facilitate durable, multi-turn conversations with AI agents. Designed to collect information towards specific goals, the agent can execute various tools and handle complex tasks autonomously. It supports integration with multiple Large Language Models (LLMs) such as OpenAI's GPT-4, Google's Gemini, and Anthropic's Claude. The framework allows for dynamic goal setting and tool definitions, enabling the agent to work towards any objective as long as the appropriate tools and goals are provided. Temporal's robust workflow management ensures reliability and fault tolerance in the agent's operations.

Temporal AI Agent

temporal-ai-agent

An open-source AI agent framework utilizing Temporal workflows for durable, multi-turn conversations.

Voyager is the first Large Language Model (LLM)-powered embodied lifelong learning agent designed for Minecraft. It autonomously explores the game world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager features an automatic curriculum to maximize exploration, an ever-growing skill library of executable code for storing and retrieving complex behaviors, and an iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement. Empirically, Voyager demonstrates strong in-context lifelong learning capabilities and exceptional proficiency in playing Minecraft, obtaining more unique items, traveling longer distances, and unlocking key tech tree milestones faster than prior state-of-the-art methods.

Voyager

voyager

An LLM-powered AI agent for Minecraft that autonomously explores, learns skills, and makes discoveries.

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